39 citations · 45 across the 6 of their papers we have counts for
6 papers
Weakly Supervised Detection of Baby Cry
Weijun Tan, Qi Yao, Jingfeng Liu
Detection of baby cries is an important part of baby monitoring and health care. Almost all existing methods use supervised SVM, CNN, or their varieties. In this work, we propose t…
Overlooked Video Classification in Weakly Supervised Video Anomaly Detection
Weijun Tan, Qi Yao, Jingfeng Liu
Current weakly supervised video anomaly detection algorithms mostly use multiple instance learning (MIL) or their varieties. Almost all recent approaches focus on how to select the…
Two-Stage COVID19 Classification Using BERT Features
Weijun Tan, Qi Yao, Jingfeng Liu
We propose an automatic COVID1-19 diagnosis framework from lung CT-scan slice images using double BERT feature extraction. In the first BERT feature extraction, A 3D-CNN is first u…
Balanced Masked and Standard Face Recognition
Delong Qi, Kangli Hu, Weijun Tan +2
We present the improved network architecture, data augmentation, and training strategies for the Webface track and Insightface/Glint360K track of the masked face recognition challe…
YOLO5Face: Why Reinventing a Face Detector
Delong Qi, Weijun Tan, Qi Yao +1
Tremendous progress has been made on face detection in recent years using convolutional neural networks. While many face detectors use designs designated for detecting faces, we tr…
A Dataset and System for Real-Time Gun Detection in Surveillance Video Using Deep Learning
Delong Qi, Weijun Tan, Zhifu Liu +2
Gun violence is a severe problem in the world, particularly in the United States. Deep learning methods have been studied to detect guns in surveillance video cameras or smart IP c…